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Academic Profile
Martin Čejka
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Academic professional focused on AI in education, applied analytics, and resilient digital learning ecosystems.
Academic Worker and AI Program LeadCzech University of Life Sciences Prague (PEF)Faculty of Economics and Management, PragueOfficial profile link
- Research Projects
- 3
- Business Projects
- 2
- Courses
- 3
- Current Domain
- cejka.pef.czu.cz
News and Updates
Institution-facing updates, events, and operational notices.
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New Applied AI Case Study Series
A cross-faculty publication series focusing on real operational AI scenarios in education and public-sector projects.
Open Lecture: Reliable AI Services in Higher Education
A public lecture on deploying academic AI assistants with transparent governance, observability, and risk controls.
Industry Collaboration Sprint
Interdisciplinary sprint connecting student teams with industry mentors to prototype decision-support applications.
Programmes and Services
Structured offering for students, staff, partners, and public institutions.
Study Programmes
AI for Economic and Management Practice
Applied programme path focused on trustworthy AI integration in business and institutional environments.
Digital Services and Data Operations
Practice-first curriculum covering service reliability, analytics workflows, and production delivery fundamentals.
Professional Upskilling in AI Governance
Short-format executive modules on AI policy, measurement strategy, and implementation governance.
Services
Research and Industry Partnerships
Structured collaboration format for pilot initiatives, knowledge transfer, and applied methodological support.
Course and Curriculum Design
Support for building modern AI-enabled courses with measurable outcomes and maintainable delivery workflows.
Technology Advisory for Learning Platforms
Operational consultancy for resilient educational services, monitoring strategy, and platform lifecycle planning.
Research and Project Portfolio
AI-Augmented Learning Analytics for Hybrid Courses
Designing interpretable analytics pipelines that help instructors tune course structure, detect friction points, and improve student outcomes in blended learning contexts.
Operational Trust in Student-Facing AI Assistants
Evaluating safe deployment patterns for academic AI assistants with emphasis on observability, policy alignment, and transparent answer provenance.
Adaptive Assessment Infrastructure
Building adaptive testing methods and quality gates that balance flexibility with fairness for large student cohorts.
Executive AI Capability Program
A practice-focused track helping organizations integrate AI responsibly into operations, with governance templates and deployment checklists.
Data Product Incubation for Public Sector Teams
Guiding teams from raw reporting to decision-ready data products, including service-level KPIs and reliability instrumentation.
Open Educational Resource Studio
Developing reusable educational materials, interactive visuals, and structured repositories for long-term curriculum reuse.
Campus Innovation Meetups
Curating a recurring forum for sharing lessons learned from AI deployments, data governance, and cross-functional collaboration.
Teaching
Current teaching portfolio with target audiences and focus areas.
Artificial Intelligence in Practice
Applied AI workflows, model evaluation, and deployment guardrails for real-world projects.
Digital Operations and Service Reliability
Monitoring strategy, incident response, and infrastructure thinking for modern web services.
Data Storytelling for Decision Makers
Transforming analytical results into persuasive, evidence-driven narratives.
Teaching Overview Table
| Course | Period | Audience | Focus |
|---|---|---|---|
| Artificial Intelligence in Practice | Every semester | Bachelor and Master students | Applied AI workflows, model evaluation, and deployment guardrails for real-world projects. |
| Digital Operations and Service Reliability | Spring term | Graduate and professional learners | Monitoring strategy, incident response, and infrastructure thinking for modern web services. |
| Data Storytelling for Decision Makers | Autumn workshops | Interdisciplinary cohorts | Transforming analytical results into persuasive, evidence-driven narratives. |
Photo Gallery
Selected snapshots from teaching, research, and innovation activities.
Location
Campus hub for AI education and applied digital transformation
- City: Prague
- Country: Czech Republic
- Campus: CZU - Faculty of Economics and Management
- Coordinates: 50.1325 N, 14.3737 E
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Contact / CTA
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